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Titlebook: Exploring Meso-Level Dynamic Capabilities to Address the Capability Rigidity Paradox; A Longitudinal Case Florian Andresen Book 2021 The E

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書目名稱Exploring Meso-Level Dynamic Capabilities to Address the Capability Rigidity Paradox
副標題A Longitudinal Case
編輯Florian Andresen
視頻videohttp://file.papertrans.cn/321/320339/320339.mp4
叢書名稱Forschungs-/Entwicklungs-/Innovations-Management
圖書封面Titlebook: Exploring Meso-Level Dynamic Capabilities to Address the Capability Rigidity Paradox; A Longitudinal Case Florian Andresen Book 2021 The E
描述.In this book Florian Andresen aims to unpack the “capability rigidity paradox” within the dynamic?capability view. Consequently, he tackles one of the core challenges in strategic?management of the past decades. Providing a novel and thorough literature review on?dynamic capabilities from the point of this paradox, the author discusses the current state of?the literature to derive the core shortcomings meticulously. A case study of capability?evolution in the German Armed Forces is interpreted against the backdrop of a strategy as?process and practice lens, thus, allowing to propose the concept of meso‐level dynamic?capabilities without falling prey to the capability rigidity paradox..
出版日期Book 2021
關(guān)鍵詞Strateggic Management; dynamic capabilities; capability evolution; German Armed Forces; capability rigid
版次1
doihttps://doi.org/10.1007/978-3-658-32006-5
isbn_softcover978-3-658-32005-8
isbn_ebook978-3-658-32006-5
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies
The information of publication is updating

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https://doi.org/10.1007/978-3-658-32006-5Strateggic Management; dynamic capabilities; capability evolution; German Armed Forces; capability rigid
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https://doi.org/10.1007/978-0-387-38995-0ry section, the author provides an in-depth overview of the single case used, as well as the German Federal Armed Forces as the surrounding organization. In the section on the research design, the author explains why a grounded theory approach is used. Afterward, the author explains how data is coll
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Max-Plus Eigenvector Method Error Analysis,an Federal Armed Forces between 1990 and 2017. In this regard, the first sub-chapter sets the stage by providing the prologue and the overall development. The author continuously digs deeper into the data in the following sub-chapters 2 to 4, providing more and more interpretation. Primarily chapter
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